一个简单的脆弱性骨折风险评分2型糖尿病患者:衍生,验证,比较和风险分层研究
Fengning Chuan1,2, Youyuan Gao3, Kun Liao1
1Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China.
European journal of endocrinology
|November 13, 2023
概括
新的分数有效地识别了2型糖尿病 (T2D) 患者的骨折风险,优于现有的工具,如FRAX. 这些简单的工具有助于分层患者,以更好地治疗骨质疏松症.
科学领域:
- 内分泌学 在内分泌学.
- 骨质疏松症研究 骨质疏松症研究
- 生物统计学 生物统计学
背景情况:
- 2型糖尿病 (T2D) 与骨折风险增加有关.
- 准确的骨折风险评估对于治疗T2D患者的骨质疏松症至关重要.
研究的目的:
- 在T2D患者中开发和验证任何脆弱性骨折 (AF) 和主要骨质疏松性骨折 (MOF) 的两个简单风险评分.
- 将这些新得分的表现与骨折风险评估工具 (FRAX) 的表现进行比较.
主要方法:
- 一项对1855名T2D患者进行的纵向队列研究.
- 考克斯对5年骨折风险模型的比例危险回归.
- 使用引导重抽样进行内部验证.
主要成果:
- 在T2D中开发了AF和MOF风险分层的新得分.
- 这些得分表明与FRAX.UC相比,性能有所改善 (C指数,校准,DCA,AUC).
- 成功地将T2D患者分为不同的骨折风险组.
结论:
- 新的得分为T2D患者提供了简单可靠的骨折风险分层.
- 建议进行进一步的外部验证以确认这些发现.
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